YennaAI Research

Advancing the future of knowledge management through AI research and innovation.

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Our Vision

We envision a world where every organization can harness the full power of their collective knowledge through AI.

Research-Driven Innovation

Pushing the boundaries of AI and knowledge management through rigorous research.

Knowledge First

Developing new ways to capture, process, and utilize organizational knowledge.

Our Research Focus

We are currently researching and developing innovative solutions in the following areas:

  • Advanced NLP for knowledge extraction
  • Efficient knowledge graph architectures
  • Intelligent search algorithms
  • Secure knowledge management systems

Research Areas

Our research spans multiple domains, focusing on cutting-edge AI technologies and their applications in knowledge management.

NLP Research

Exploring state-of-the-art natural language processing techniques for knowledge extraction and understanding.

Search Algorithms

Investigating advanced search methodologies for efficient knowledge retrieval and context understanding.

Knowledge Graphs

Researching optimal ways to represent and connect knowledge in a meaningful graph structure.

Development Timeline

Our journey to revolutionize knowledge management through AI research and development.

Phase 1

Research & Development

  • NLP model selection and testing
  • Knowledge graph architecture design
  • Search algorithm optimization
  • Security framework planning

Phase 2

MVP Development

  • Core NLP implementation
  • Basic knowledge graph
  • Initial search functionality
  • User interface design

Phase 3

Beta Testing

  • Limited user testing
  • Performance optimization
  • Security implementation
  • User feedback collection

Get in Touch

Have questions about our research? We'd love to hear from you.

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